Package: SynDI 0.1.0

Michael Kleinsasser

SynDI: Synthetic Data Integration

Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations <arxiv:2106.06835>.

Authors:Tian Gu [aut], Jeremy M.G. Taylor [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]

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SynDI.pdf |SynDI.html
SynDI/json (API)

# Install 'SynDI' in R:
install.packages('SynDI', repos = c('https://umich-biostatistics.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/umich-biostatistics/syndi/issues

Datasets:

On CRAN:

4.00 score 1 stars 7 scripts 155 downloads 6 exports 73 dependencies

Last updated 3 years agofrom:3a08bf51ea. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winNOTENov 18 2024
R-4.5-linuxNOTENov 18 2024
R-4.4-winNOTENov 18 2024
R-4.4-macNOTENov 18 2024
R-4.3-winNOTENov 18 2024
R-4.3-macNOTENov 18 2024

Exports:%>%Create.SyntheticexpitInitial.estimatesResample.gamma.binaryYResample.gamma.continuousY

Dependencies:abindarmbackportsbitbit64bootbroomclicliprcodacodetoolscpp11crayondplyrevaluatefansiforcatsforeachgenericsglmnetgluehavenhighrhmsiteratorsjomoknitrlatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlmvtnormnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6randomForestRcppRcppEigenreadrrlangrpartsandwichshapeStackImputestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithrxfunyamlzoo

SynDI Example 1: Binary Response

Rendered fromSynDI-example-binary.Rmdusingknitr::knitron Nov 18 2024.

Last update: 2021-07-20
Started: 2021-07-14

SynDI Example 2: Continuous Response

Rendered fromSynDI-example-continuous.Rmdusingknitr::knitron Nov 18 2024.

Last update: 2021-07-20
Started: 2021-07-15